Transformers
PyTorch
English
language-model
graph-attention
adaptive-depth
temporal-decay
efficient-llm
Eval Results (legacy)
Instructions to use vigneshwar234/TemporalMesh-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vigneshwar234/TemporalMesh-Transformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vigneshwar234/TemporalMesh-Transformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
v3 release: full paper, 5 TikZ diagrams, 25 tables, 5 algorithms — all open-source
#2 opened 2 days ago
by
vigneshwar234
TMT v3: 30.2% PPL reduction at 48% compute — full paper, code & live demo released
#1 opened 2 days ago
by
vigneshwar234